Cardiology Research, ISSN 1923-2829 print, 1923-2837 online, Open Access
Article copyright, the authors; Journal compilation copyright, Cardiol Res and Elmer Press Inc
Journal website https://cr.elmerpub.com

Original Article

Volume 17, Number 2, April 2026, pages 72-81


Integrating Findings Into Practice: Assessing External Validity of Congestive Heart Failure Trials

Figures

↓  Figure 1. PRISMA flow diagram.
Figure 1.
↓  Figure 2. Trends in clinical utility, transparency values, and total usefulness of randomized controlled trials (RCTs) on congestive heart failure (CHF) by year of publication. Panels (a)–(c) display the distribution of summed values for clinical utility criteria (a), transparency criteria (b), and total usefulness (c) across publication years. Each dot represents an individual RCT. Red dashed lines represent fitted linear regression lines.
Figure 2.
↓  Figure 3. Each point represents a randomized controlled trial (RCT) assessing interventions in congestive heart failure (CHF). The red dashed line indicates a fitted linear regression. A positive, statistically significant correlation was observed between transparency and clinical utility values (Pearson’s r = 0.42, 95% CI: 0.14–0.64, t(42) = 3.03, P = 0.004).
Figure 3.

Tables

↓  Table 1. Usefulness Criteria Item Descriptions
 
Clinical utility itemDescription
1. Problem baseHealth impact depends on prevalence, individual burden, and cost, including common and rare diseases.
2. Context placementClinical research is most useful when informed by systematic reviews that integrate new findings with existing evidence.
3. Information gainInformative clinical research requires adequately powered studies focused on critical outcomes, avoiding surrogate measures, and integrating results with prior evidence for meaningful practice changes.
4. PragmatismPragmatic research evaluates the real-world effectiveness of interventions, emphasizing generalizability and practicality over controlled, ideal conditions.
5. Patient-centerednessPatient-centered research prioritizes questions and outcomes that matter most to patients, involving them in setting priorities and developing core outcomes.
6. Value for moneyValue-for-money research evaluates the expected benefits of a study against its costs, using analyses like value-of-information and budget impact to guide design and funding decisions.
7. FeasibilityFeasibility in research depends on realistic recruitment goals, adequate power, and collaborative networks to overcome challenges like patient availability and overestimated sample sizes.
Transparency itemDescription
8A. PreregistrationPreregistration is the process of registering a study in an official registry database before recruiting the first patient.
8B. Public protocolThe protocol and data analysis plan should be publicly available before the trial starts and before data analysis.
8C. Protocol adherenceAny deviations from the original protocol should be justified, updated in the protocol, and reapproved by the ethics committee, with modification statements included in the manuscript.
8D. Funding statementFunding sources for trial conduction should be clearly stated.
8E. Conflict of interest statementConflicts of interest should be clearly and completely disclosed.
8F. Data availabilityFreely available raw data, including statistical code and output, is becoming the norm to ensure transparency, facilitate meta-analyses, and address concerns about study trustworthiness.

 

↓  Table 2. Criteria Findings
 
Clinical utility criteriaN = 44Transparency criteriaN = 44
Problem base, n (%)Preregistration, n (%)
  Full4 (9.1)  Full18 (40.9)
  Partial25 (56.8)  Partial9 (20.5)
  Absent15 (34.1)  Absent17 (38.6)
Context placement, n (%)Public protocol, n (%)
  Full16 (36.4)  Full6 (13.6)
  Partial28 (63.6)  Partial7 (15.9)
  Absent0 (0.0)  Absent31 (70.5)
Information gain, n (%)Adherence to protocol, n (%)
  Full7 (15.9)  Full12 (27.3)
  Partial4 (9.1)  Partial0 (0.0)
  Absent33 (75.0)  Absent32 (72.7)
Pragmatism, n (%)Funding stated, n (%)
  Full2 (4.5)  Full34 (77.3)
  Partial3 (6.8)  Partial0 (0.0)
  Absent39 (88.6)  Absent10 (22.7)
Patient centeredness, n (%)COIs, n (%)
  Full24 (54.5)  Full30 (68.2)
  Partial6 (13.6)  Partial2 (4.5)
  Absent14 (31.8)  Absent12 (27.3)
Value for money, n (%)Raw data, n (%)
  Full1 (2.3)  Full6 (13.6)
  Partial1 (2.3)  Partial4 (9.1)
  Absent42 (95.5)  Absent34 (77.3)
Feasibility, n (%)
  Full17 (38.6)
  Partial3 (6.8)
  Absent24 (54.5)

 

↓  Table 3. Systematic Review Inclusion, Feasibility, and Pragmatism in Clinical Trials
 
CharacteristicN = 44
aMultiple studies had more than one pragmatism violation, resulting in a total N = 65 for this section.
Prior systematic review, n (%)
  Not cited or performed26 (59.1)
  Systematic review cited18 (40.9)
Non-feasibility reason, n (%)
  No reason provided20 (45.5)
  Study was feasible18 (40.9)
  Attrition3 (6.8)
  Low recruitment speed3 (6.8)
Pragmatism violationa, n (%)
  Blinding of assessors22 (50.0)
  Placebo-controlled18 (40.9)
  Employs a new intervention12 (27.3)
  Single-centered trial9 (20.5)
  No pragmatism violation3 (6.8)
  Employs a new indication1 (2.3)